An Evaluation Method of Acceptable and Failed Spot Welding Products Based on Image Classification with Transfer Learning Technique-Reference-Cited by-同舟云学术

An Evaluation Method of Acceptable and Failed Spot Welding Products Based on Image Classification with Transfer Learning Technique

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Computer Science and Application Engineering - CSAE '18
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Author:

Yang Ye¹,Zheng Peng¹,He Hao¹,Zheng Tianyu¹,Wang Lei¹,He Shan²

Affiliation:

1. School of Aerospace Engineering, Xiamen University, China

2. School of Electronic Science and Technology, Xiamen University, China

Publisher

ACM Press

Reference21 articles.

1. Ishaya ZD, Dauda M, and Pam GY, et al. 2013. Destructive testing and production system integrity. Advances in Applied Science Research, 4, 4(2013), 184--189.

2. Xiaodong Wan, Yuanxun Wang and Dawei Zhao. 2018. Quality Estimation in Small Scale Resistance Spot Welding of Titanium Alloy Based on Dynamic Electrical Signals. ISIJ International, 58, 4(2018), 721--726.

3. Xingjue Wang, and Junhong Zhou, et al. 2018. Quality monitoring of spot welding with advanced signal processing and data-driven techniques. Transactions of the Institute of Measurement and Control, 40, 7(2018), 2291--2302.

4. Hongjie Zhang, and Yanyan Hou, et al. 2015. A new method for nondestructive quality evaluation of the resistance spot welding based on the radar chart method and the decision tree classifier. Int J Adv Manuf Technol, 78, 5--8(2015), 841--851.

5. Samo Simončič and Primož Podržaj. 2012. Image-based electrode tip displacement in resistance spot welding. Measurement Science and Technology, 23, 6(2012).

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